Considerações empíricas acerca da aplicação do procedimento de Heckman: Há viés de seleção amostral na indústria brasileira?

There are several labor market researches whose main goal is to analyze the probability of employment and the structure of wage determination and, for empirical purposes, most of these researches deploy Heckman sample selection bias hazard detection and correction procedure. However, few Brazilian studies are focused in this procedure applicability, especially concerning specific industries. This paper aims to approach these issues by testing the existence of sample selection bias in Brazilian manufacturing industry, and to analyze the impact of the bias correction procedure over the estimated coefficients of OLS Mincer equations. We found sample selection bias hazard only in manufacturing segments which average wages are lower than market average and only in groups of workers which average wage level is below the market average (women, especially blacks). The analysis and comparison of Mincer equations with and without Heckman’s sample selection bias correction procedure brought up that the estimation’s coefficients related to wage differential for male over female workers and the wage differential for urban over non-urban workers tends to be overestimated in cases which the sample selection bias isn’t corrected